OpenClaw Active Memory Timeout: Diagnose the Failed Phase

An OpenClaw Active Memory timeout is a failed recall attempt, not a root cause . On an eligible interactive turn, the main reply may still arrive without recalled context. Diagnose the timeout by joining six content free facts: whether the session was eligible, whether this was the first eligible reply after restart, the Active Memory status, elapsed time, the configured timeout budget, and memory backend or circuit breaker state. Do not start by increasing timeoutMs . A larger deadline can hide a cold backend, a slow recall model, or repeated failures while adding latency to every eligible reply. First classify the failed phase; then make one bounded change and repeat the same recall canary. This guide is pinned to the behavior documented for OpenClaw 2026.5.2 and later and was checked against the 2026.7.1 package. Older issue reports are useful evidence, but their wall clock behavior must not be treated as the current timeout contract. Prove that Active Memory actually ran Active Memory is not a general memory hook on every OpenClaw execution. The official Active Memory documentation limits it to eligible interactive persistent conversations. Headless one shot tasks, heartbeat runs, background work, generic internal commands, and helper sub agents do not use this recall lane. That makes eligibility the first branch in the incident: Evidence Interpretation Next move Session was not eligible or the agent was not targeted No Active Memory run was expected Fix the targeting assumption; do not tune timeouts Eligible turn, no start or status evidence Plugin, session toggle, chat type scope, or logging is the likely first failed layer Check /active memory status , agent targeting, and chat type Eligible turn with status=timeout Recall started or was skipped by its circuit breaker Continue with restart, elapsed time, backend, and circuit evidence Main reply did not arrive This is wider than recall quality Treat reply delivery as a separate availability incident Turn on /verbose on while testing. The status line is deliberately small: status, elapsed time, query mode, and summary length. /trace on can expose a debug summary, but an operational health receipt does not need the summary text. Keep prompts, memories, transcripts, and credentials out of the incident record. OpenClaw documents fail open behavior: timeout, unavailable search, or empty recall lets the main reply continue without recalled context. That protects conversation availability, but it creates two independent outcomes: 1. Reply delivery: did the assistant answer? 2. Memory backed correctness: did the expected recall context reach that answer? A delivered reply proves only the first. If the question depended on a past decision, use a harmless decision canary or human review before calling the turn healthy. Use the current timeout equation For OpenClaw 2026.5.2 and later, the documented worst case blocking budget is: The extra 3000 ms is split into fixed preflight and post recall allowances. It does not give the model or memory tools more execution time. The recall work budget is timeoutMs + setupGraceTimeoutMs . With the recommended timeoutMs: 15000 and the current default setupGraceTimeoutMs: 0 , the documented ceiling is 18 seconds. If an operator explicitly restores 30 seconds of setup grace after upgrading from the older implicit grace behavior, the ceiling becomes 48 seconds. This is not a recommendation to add 30 seconds everywhere. The cold start guidance says the grace exists for model warm up, embedding index load, and the first recall after a gateway restart. The trade off is direct: more grace raises worst case latency on eligible replies. One public report, OpenClaw issue 66804, recorded timeoutMs=15000 , approximately elapsedMs=57071 , and summaryChars=0 with MiniMax M2.7. That report is valuable because it preserves the model, version, search mode, and absence of a configured fallback. It was filed against OpenClaw 2026.4.14, however. It cannot validate or refute the current 2026.5.2 plus ceiling because the timeout and cold start grace implementation changed. The safe comparison is always: Separate cold start from steady failure A first recall timeout and a steady state timeout share a status but not a repair. Classify cold start timeout only when all of these are true: the turn was eligible and targeted; Active Memory actually started; it was the first eligible recall after a gateway restart; the memory backend was available; the elapsed time fits the current configured blocking budget; a later identical canary succeeds after warm up. The final condition matters. “First after restart” is evidence, not an exemption. If the second and third eligible recalls also time out, the incident has crossed into steady state. For a steady state timeout , inspect the recall path in this order: 1. Memory backend: run openclaw status deep and verify provider, index identity, and availability. The memory configuration reference warns that provider, model, source, scope, chunking, or tokenizer changes can make the existing vector index incompatible. OpenClaw pauses vector search rather than silently rebuilding it. 2. Query size: move from full to recent , or from recent to message , only if the smaller context still serves the recall task. 3. Recall model: pin a suitable low latency model when inherited session model latency is the bottleneck. 4. Timeout budget: increase the deadline only after the backend and model are known healthy and the measured p95 recall needs more room. Do not rely on modelFallback as runtime failover. Current OpenClaw documentation defines it as the last step in model resolution when no explicit, session, or agent primary model resolves. It does not swap in a backup after the chosen model times out. Repeated timeouts introduce another state: circuit open . OpenClaw tracks consecutive timeouts per agent/provider/model and can skip recall during a cooldown. A circuit open status may report a timeout with zero elapsed time. That is not an extraordinarily fast provider failure; it is work OpenClaw intentionally did not start. Replay a content free receipt audit The following decision rule is the core of a nine case fixture used for this article. It requires no prompts or memory text: The 250 ms allowance is measurement tolerance, not extra runtime budget. Keep it small and explicit. The fixture covers nine mutually distinguishable states: State Decisive evidence Operator decision healthy recall ok , non empty summary length, reply delivered Keep the current path no relevant memory Backend available, explicit empty/no relevant result Healthy absence for this query cold start timeout First eligible post restart recall, inside current ceiling Warm once; consider bounded setup grace only if reproducible steady state timeout Timeout after warm up or outside the current ceiling Diagnose backend, query size, and model circuit open Circuit marker, usually zero elapsed recall work Wait for cooldown or repair the repeated cause backend unavailable Unavailable result or failed backend check Repair provider, auth, or index identity partial timeout Partial summary exists at timeout Treat context as degraded; verify before use not targeted Ineligible surface or targeting mismatch Fix expectation or scope reply failed Main reply missing Escalate as conversation availability, not only memory recall The replay passed all nine expected classifications. Its limitation is equally important: it proves phase classification, not semantic recall quality. A non empty summary can still be irrelevant or stale. To verify quality without retaining content, use a canary decision with a known expected disposition and store only the canary ID, retrieval result class, freshness, and pass/fail verdict. Change one boundary, then verify recovery Use the state to choose the smallest repair: Not targeted: correct plugin enablement, agent list, session toggle, or allowed chat type. Backend unavailable: repair the explicit provider, credential, model, or incompatible index. Rebuild only when the documented index identity changed. Cold start timeout: repeat after warm up. If only the first recall fails and the latency is acceptable, add bounded setup grace and measure the new ceiling. Steady state timeout: shrink query mode or select a faster recall model before increasing the deadline. Circuit open: preserve the incident evidence, repair the repeated timeout cause, and verify again after cooldown. Partial timeout: do not treat partial recalled text as verified context. Reply failed: investigate the wider response path; fail open recall should not be used to explain a missing reply without evidence. Recovery requires more than a configuration write. Re run the same eligible canary, confirm status=ok or a legitimate no relevant result, confirm the main reply arrived, and verify the expected decision. Then observe at least one additional steady state recall. That sequence distinguishes a real repair from a one off warm cache. Sidewisp is currently in private preview. Its intended role is to turn this kind of reachability, memory, timeout, provider, and outcome evidence into a clear health issue with freshness and confidence. Sidewisp does not currently ship an OpenClaw monitoring adapter or automated recovery engine; use the OpenClaw native evidence and bounded verification steps above today.